Papers

10

Total Citations

114

H-Index

5

About

Murali Karnam is a leading researcher at the intersection of human-robot interaction, surgical robotics, and augmented reality (AR). His work focuses on making robotic systems more intuitive and safe for medical applications, particularly in minimally invasive surgery. Karnam’s major contributions include developing a human-inspired controller for fluid human-robot handovers (67 citations), which models the seamless coordination seen in human interactions. He has also pioneered AR-based navigation for orthognathic surgery (6 citations) and automatic patient positioning by visualizing surgical robot rotational workspaces (9 citations), aiming to improve surgical accuracy and setup efficiency. His research on null space visualization and control for redundant surgical robots (4 citations) addresses the challenge of making complex robot movements intuitive for surgeons. Karnam’s work on admittance controllers for hand-guiding surgical robots (4 citations) and robotic endoscope systems for laser osteotomy (6 citations) further demonstrates his commitment to advancing surgical technology. With over 110 total citations, his contributions are shaping the future of intuitive, safe, and effective robotic assistance in medicine.

Research Focus

Key Achievements

5
H-Index
10
Papers
114
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A human-inspired controller for fluid human-robot handovers
67 citations · 2016
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: École Polytechnique Fédérale de Lausanne, University of Basel, Inspire

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago